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Á¦°³Á¤ÀÏ 2022-12-07 ÃÑÆäÀÌÁö 83
ÇѱÛÇ¥Áظí ÀÓ»ê°øÇÐ ºÐ¾ß ±â°è-½ÇÇàÇü µ¥ÀÌÅÍ °ü¸® °èȹ ¸ÞŸµ¥ÀÌÅÍ ½ºÅ°¸¶
¿µ¹®Ç¥Áظí Metadata Schema of Machine-Actionable Data Management Plans in the field of Forest Products
Çѱ۳»¿ë¿ä¾à ÃÖ±Ù ÇØ¿Ü ¿¬±¸ºñ Á¦°ø±â°üÀ» Áß½ÉÀ¸·Î µ¥ÀÌÅÍ °ü¸® °èȹ(Data Management Plan, ÀÌÇÏ DMP) ¡°µ¥ÀÌÅÍ°ü¸®°èȹ¡±À̶õ ¿¬±¸µ¥ÀÌÅÍÀÇ »ý»ê¤ýº¸Á¸¤ý°ü¸® ¹× °øµ¿È°¿ë µî¿¡ °üÇÑ °èȹÀ» ¸»ÇÑ´Ù(±¹°¡¿¬±¸°³¹ß»ç¾÷ÀÇ °ü¸® µî¿¡ °üÇÑ ±ÔÁ¤ Á¦2Á¶).
Á¦ÃâÀ» Àǹ«È­ÇÏ°í ÀÖ´Ù. ±¹³»ÀÇ °æ¿ì ±¹°¡¿¬±¸°³¹ßÇõ½Å¹ýÀÌ 2021³â 1¿ù¿¡ ½ÃÇàµÊ¿¡ µû¶ó ÇâÈÄ DMPÀÇ ÀÛ¼º ¹× Á¦ÃâÀÌ Àǹ«È­µÉ °ÍÀ¸·Î ¿¹»óµÈ´Ù. ½ÇÁ¦·Î Çѱ¹¿¬±¸Àç´ÜÀ» ºñ·ÔÇÏ¿© ±¹°¡Ã⿬¿¬±¸±â°üÀ» Áß½ÉÀ¸·Î DMP ÀÛ¼º ¹× Á¦ÃâÀÌ Àǹ«È­µÇ°í ÀÖ´Ù. ±¹¸³»ê¸²°úÇпø¿¡¼­´Â 2019³âºÎÅÍ ¿¬±¸°úÁ¦ ½ÉÀǸ¦ À§ÇÑ DMP ÀÛ¼º ¹× Á¦ÃâÀÌ ½ÃÀ۵Ǿú´Ù.
DMP ÀÛ¼º Àǹ«È­°¡ È®´ëµÇ°í ÀÖÁö¸¸ ¼­¸éÀ¸·Î ÀÛ¼ºµÇ´Â DMP´Â Ç¥ÁØ ¹× Çü½Ä, µ¥ÀÌÅÍ °ü¸® ±×¸®°í °ø°³¼º¿¡ ¹®Á¦°¡ ÀÖ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù. µû¶ó¼­ º» Ç¥ÁØ¿¡¼­´Â ±âÁ¸ ¼­¸é DMPÀÇ ´ÜÁ¡À» ±Øº¹Çϱâ À§ÇÑ ¹æ¾ÈÀ¸·Î Á¦½ÃµÈ maDMP ¸ÞŸµ¥ÀÌÅÍ ½ºÅ°¸¶¸¦ Á¦¾ÈÇÏ°íÀÚ ÇÑ´Ù. ÀÓ»ê°øÇÐ ºÐ¾ß maDMP ¸ÞŸµ¥ÀÌÅÍ ½ºÅ°¸¶¸¦ Á¦¾ÈÇϱâ À§ÇØ 14°³ÀÇ ±¹³»¿Ü ¿¬±¸±â°ü ¹× ÇÁ·ÎÁ§Æ®ÀÇ DMP ÅÛÇø´À» ÂüÁ¶ÇÏ¿© °³¹ßÇÏ¿´´Ù. ÂüÁ¶ÇÑ ¿¬±¸±â°üÀº ±¹¸³»ê¸²°úÇпø, Çѱ¹¿¬±¸Àç´Ü, DCC, NSF(ÇÏÀ§ 5°³ À§¿øȸ), UKRI(ÇÏÀ§ 3°³ À§¿øȸ), ANDS ±×¸®°í Horizon 2020 µîÀÌ´Ù. ÀÌ·¸°Ô Á¦¾ÈµÈ ÀÓ»ê°øÇÐ ºÐ¾ß maDMP ¸ÞŸµ¥ÀÌÅÍ ½ºÅ°¸¶´Â DMP ÀÛ¼º ¿ä¼ÒÀÇ ÀϺΠÁ¤º¸¸¦ ±â°è°¡ ÀÚµ¿À¸·Î »ý¼ºÇÏ°í À¯Áö ¹× ÀÛ¼º ´©¶ôÀ» ¹æÁöÇÒ ¼ö ÀÖÀ¸¸ç ÀÚµ¿À¸·Î Á¤º¸¸¦ ÁÖ±âÀûÀ¸·Î ¾÷µ¥ÀÌÆ®ÇÒ ¼ö ÀÖ´Ù´Â ÀåÁ¡ÀÌ ÀÖ´Ù. µû¶ó¼­ º» Ç¥ÁØÀ¸·Î Á¦¾ÈµÈ ÀÓ»ê°øÇÐ ºÐ¾ß maDMP ¸ÞŸµ¥ÀÌÅÍ ½ºÅ°¸¶¸¦ ÅëÇØ Ã¼°èÀûÀÎ °úÁ¦ ¹× ¿¬±¸µ¥ÀÌÅÍ °ü¸®°¡ °¡´ÉÇÒ °ÍÀÌ¸ç ¿¬±¸ÀÇ È¿À²¼º ¹× »ý»ê¼ºÀÌ Áõ´ëµÉ »Ó¸¸ ¾Æ´Ï¶ó ³ª¾Æ°¡¼­ ±â°ü ¿¬±¸ÀÇ Åõ¸í¼º, ÀçÇö¼º ¹× Àç»ç¿ë¼ºÀ» È®º¸ÇÒ ¼ö ÀÖ´Â ±Ù°Å°¡ ¸¶·ÃµÉ °ÍÀÌ´Ù.
¿µ¹®³»¿ë¿ä¾à Recently, the submission of a data management plan (hereinafter referred to as DMP) has been made compulsory mainly by foreign research funding institutions. In Korea, it is expected that the preparation and submission of DMP will become mandatory in the future as the NATIONAL RESEARCH AND DEVELOPMENT INNOVATION ACT will be enforced in January 2021. In fact, the preparation and submission of DMPs are compulsory for government-funded research institutes, including the National Research Foundation of Korea. Although mandatory DMP preparation is being expanded, DMP written in writing has problems with standards and formats, data management and openness. Therefore, in this standard, the application profile of maDMP presented as a way to overcome the disadvantages of the existing written DMP is proposed. In order to propose a maDMP application profile in the field of Forest Products, it was developed with reference to the DMP templates of 14 domestic and foreign research institutes and projects. Referenced research institutes include the National Insitute of Forest Science, National Research Foundation of Korea, DCC, NSF (lower five committees), UKRI (lower three committees), ANDS and Horizon 2020. The proposed maDMP application profile in the field of Forest Products has the advantage that the machine can automatically generate some information of the DMP writing elements, prevent maintenance and omission of writing, and automatically update the information periodically. Therefore, systematic tasks and research data management will be possible through the maDMP application profile in the field of forestry engineering proposed as this standard. In addition, research efficiency and productivity will increase, and furthermore, the basis for securing transparency, reproducibility and reusability of institutional research will be provided.
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°ü·ÃÆÄÀÏ TTAK.KO-10.1379.pdf TTAK.KO-10.1379.pdf            

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